Fundamentals of Model-Based Diagnosis of Dynamic Systems
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Diagnosis and Qualitative Reasoning. Pages 480-484.
Abstract
The paper discusses theoretical foundations and practical aspects of applying model-based diagnosis (particularly consistency-based diagnosis) to dynamic systems. Many approaches to this task take it for granted that it requires simulation of the system being diagnosed. We present conditions for avoiding the often prohibitively expensive step of simulation, which are stated as properties of the model and the predictive algorithm and the observability of the system. The results provide design criteria for models and diagnostic systems and a foundation for tackling new significant types of applications. This fact is illustrated by a case study on diagnosis of the hydraulic circuit of an anti-lock braking system.
@inproceedings{ijcai1997p71,
title = {Fundamentals of Model-Based Diagnosis of Dynamic Systems},
author = {Struss, Peter},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {480--484},
year = {1997},
note = {Diagnosis and Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1997/71},
}
TY - CPAPER TI - Fundamentals of Model-Based Diagnosis of Dynamic Systems AU - Struss, Peter T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 480 EP - 484 UR - https://ijcai.org/proceedings/1997/71 ER -Copied
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